This Sacred Life

2021 ◽  
Author(s):  
Norman Wirzba
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Environmental Degradation ◽  
Human Life ◽  
Genetic Enhancement ◽  
Social Injustice ◽  
God's Love ◽  
Bear Witness

In a time of climate change, environmental degradation, and social injustice, the question of the value and purpose of human life has become urgent. What are the grounds for hope in a wounded world? This Sacred Life gives a deep philosophical and religious articulation of humanity's identity and vocation by rooting people in a symbiotic, meshwork world that is saturated with sacred gifts. The benefits of artificial intelligence and genetic enhancement notwithstanding, Norman Wirzba shows how an account of humans as interdependent and vulnerable creatures orients people to be a creative, healing presence in a world punctuated by wounds. He argues that the commodification of places and creatures needs to be resisted so that all life can be cherished and celebrated. Humanity's fundamental vocation is to bear witness to God's love for creaturely life, and to commit to the construction of a hospitable and beautiful world.

scholarly journals Climate Change Implication on Agricultural Growth

2017 ◽  
Vol 4 (1) ◽  
pp. 19-23
Author(s):  
Dr Jagseer Singh
Keyword(s):  
Climate Change ◽  
Environmental Degradation ◽  
Global Climate ◽  
Human Life ◽  
Global Environmental Change ◽  
Agricultural Growth ◽  
Strong Point ◽  
Quality Of Water ◽  
Global Environmental ◽  
Cumulative Change

Global climate change brings many disasters like floods and droughts which pose great danger to human life. Pollution and greenhouse gases also affect agriculture adversely. Environmental degradation occupies the place of utmost importance when it comes to green debate. Environmental pollution can be reduced greatly by providing bathing water, pure air quality and access to neat and clean drinking water. These measures will ensure that the ambitions of climatic health and valuable environment are achieved at the earliest. In this research paper, I illustrate the international causes of degradation of environmental, climate change and its implication for agriculture growth. The paper argues that such certainty components can be projected by altering the current slowed perspectives on the problem talking the load from recent conceptual work on “cumulative change” as against” system change” to properly understand global environmental. Change and environmental degradation, the paper presents an approach to identify and use the” certainty components” it is strong point is that it help to warming. The research at hand is a review on the study survey associated by reduction of environment risk, water, air pollution, enhanced quality of water and betterment of climate factors.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

scholarly journals On storiation and what is washed ashore: The Anthropocene as big kahuna

2021 ◽  
pp. 204382062110174
Author(s):  
Elena Burgos Martinez
Keyword(s):  
Climate Change ◽  
Environmental History ◽  
Environmental Degradation ◽  
Social Research ◽  
Critical Perspective

This commentary begins by outlining current debates on the notion of the Anthropocene from a critical perspective. Subsequently, it will discuss how Pugh and Chandler (2021) directly address such a problematic and how their work contributes to pluralising contemporary academic debates on the Anthropocene. Their previous academic engagements are no stranger to questions of epistemic discrimination in the broad fields of geography, geopolitics, island studies, and social research, and, more concretely, mainstreamed anthropological thinking. This commentary will therefore focus on their call for storiation and its relevance for contemporary debates seeking more ethical, localised, fluid, and coherent approaches to environmental degradation, environmental history, island identity, geopolitics of climate change, and indigeneity. From all the shapes storiation can take, this commentary focuses on indigenous storiation as embodiment.

scholarly journals Using Artificial Intelligence to Visualize the Impacts of Climate Change

2021 ◽  
Vol 41 (1) ◽  
pp. 8-14
Author(s):  
Alexandra Luccioni ◽  
Victor Schmidt ◽  
Vahe Vardanyan ◽  
Yoshua Bengio ◽  
Theresa-Marie Rhyne
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Impacts Of Climate Change

scholarly journals Group Facilitation on Societal Disruption and Collapse: Insights from Deep Adaptation

2021 ◽  
Vol 13 (11) ◽  
pp. 6280
Author(s):  
Jem Bendell ◽  
Katie Carr
Keyword(s):  
Climate Change ◽  
Environmental Degradation ◽  
First Person ◽  
Group Facilitation ◽  
Environmental Destruction ◽  
Difficult Conversations ◽  
Radical Uncertainty ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts

This article synthesises the practice and rationale behind ways of facilitating gatherings on topics of societal disruption and collapse, which is argued to be useful for lessening damaging responses. The authors draw on first-person inquiry as facilitators of gatherings, both online and in person, in the post-sustainability field of ‘Deep Adaptation,’ particularly since 2018. This term describes an agenda and framework for people who believe in the probable, inevitable or unfolding collapse of industrial consumer societies, due to the direct and indirect impacts of human-caused climate change and environmental degradation. Some of the principles of Deep Adaptation facilitation are summarised, such as containment, to enable co-responsibility for a safe enough space for difficult conversations. Another key principle is welcoming radical uncertainty in response to the anxieties that people feel from their anticipation of collapse. A third principle is making space for difficult emotions, which are welcomed as a natural and ongoing response to our predicament. A fourth aspect is a curiosity about processes of othering and separation. This paper provides a review of the theories that a reason for environmental destruction is the process of othering people and nature as being less significant or meaningful. One particular modality called Deep Relating is outlined.

Wise Ancestors, Good Ancestors: Why Mindfulness Matters in the Promotion of Planetary Health

Challenges ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 26
Author(s):  
Alan C. Logan ◽  
Susan H. Berman ◽  
Richard B. Scott ◽  
Brian M. Berman ◽  
Susan L. Prescott
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Health Inequalities ◽  
Environmental Degradation ◽  
Practical Wisdom ◽  
Resource Depletion ◽  
Global Burden ◽  
Non Communicable Diseases ◽  
Planetary Health ◽  
Cultural Aspects

The concept of planetary health blurs the artificial lines between health at scales of person, place, and planet. It emphasizes the interconnected grand challenges of our time, and underscores the need for integration of biological, psychological, social, and cultural aspects of health in the modern environment. Here, in our Viewpoint article, we revisit vaccine pioneer Jonas Salk’s contention that wisdom is central to the concept of planetary health. Our perspective is centered on the idea that practical wisdom is associated with decision-making that leads to flourishing—the vitality and fullest potential of individuals, communities, and life on the planet as a whole. The SARS-CoV-2 pandemic has illustrated the acute consequences of unwise and mindless leadership; yet, wisdom and mindfulness, or lack thereof, is no less consequential to grotesque biodiversity losses, climate change, environmental degradation, resource depletion, the global burden of non-communicable diseases (NCDs), health inequalities, and social injustices. Since mindfulness is a teachable asset linked to both wisdom and flourishing, we argue that mindfulness deserves much greater attention in the context of planetary health.

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